Sri Pantai/Gurney Beach Resort Condo

Gurney Beach Resort, 28, Persiaran Gurney, George Town, 10250 George Town, Pulau Pinang, Malaysia

Property Transactions

13 subsales grouped by size

Median
RM1,600,000
PSF
RM619
Period
transactions middle 50% (P25–P75)
2,600 sqft
Condo
RM1,700,000
Level 12
2,583 sqft · RM658 PSF
RM1,500,000
Level 4
2,583 sqft · RM581 PSF
RM1,630,000
Level 3
2,583 sqft · RM631 PSF
RM1,575,000
Level 35
2,583 sqft · RM610 PSF
RM1,725,000
Level 17
2,583 sqft · RM668 PSF
RM1,600,000
Level 4
2,583 sqft · RM619 PSF
+7 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM1,600,000

RM619 psf

Median transaction price

Sri Pantai/Gurney Beach Resort Condo
© OpenStreetMap · CARTO

Gurney Beach Resort, 28, Persiaran Gurney, George Town, 10250 George Town, Pulau Pinang, Malaysia

Maps

Sri Pantai/Gurney Beach Resort Condo in Timur Laut, Penang recorded 13 subsale transactions between 2021 and 2026, with a median price of RM1.60 million and a median price per square foot (PSF) of RM619.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.60 million, with most transactions falling within a stable range of RM1.50 million to RM1.70 million, and a typical market range of RM1.53 million to RM1.68 million.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM619, with most transactions between RM581 and RM657. The usual range is RM590.35 to RM648.35, showing that most units are priced quite close to each other. With an IQR of RM58.00 and MAD of RM38, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.